Remote sensing of tropical forage quantity and quality – Assessment of feature selection approaches, algorithms and metalearners

The aim of this study is to develop remote sensing-based approaches for forage monitoring and biomass prediction at local and regional levels in Colombia to aid decision making and increase productivity while minimising impacts on the environment